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Implementation of a Novel Tool to Collect Milk Feeding Data on Infants in Primary Care Clinics.

Gabriela M Maradiaga PanayottiDean S MinerEmily A HannonMelissa C KaySophie K ShaikhKaren R JoosteElizabeth EricksonTeresa KovarikCharles T Wood
Published in: Clinical pediatrics (2022)
We aimed to capture milk feeding type in real time in a racially and socioeconomically diverse population. An electronic tool to assess milk feeding type at every medical visit for children aged 0 to 2 years was designed and incorporated into nursing workflows. The Milk Box tool was successfully added to the electronic clinical workspace of a large health system. There were eight clinics, with diverse characteristics, which incorporated the use of the Milk Box tool over 12 months. Time to 50% uptake of Milk Box varied from 3 to 5 months. Time to >80% uptake varied from 6 to 8 months. Our results show that Milk Box can be quickly incorporated into a clinical workflow when the team is given appropriate training and support. The tool also allows a primary care practice to study local breast milk consumption trends and to provide both individualized and system-level lactation support.
Keyphrases
  • primary care
  • healthcare
  • transcription factor
  • quality improvement
  • binding protein
  • mental health
  • machine learning
  • general practice
  • deep learning